{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import json\n",
    "from pandas.io.json import json_normalize\n",
    "import pyecharts as pe\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "op1=open(r'D:\\try\\shoes.json', 'r',encoding='utf-8')\n",
    "li=[]\n",
    "dict1={}\n",
    "for i in op1:\n",
    "    k=json.loads(i.encode(\"utf-8\"))#把字符串转换为json\n",
    "    li.append(k)\n",
    "a=json_normalize(li)#把由json数据构成的列表转换成数据框"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['_id.$oid', 'info.上市年份季节', 'info.上市时间', 'info.产品名称', 'info.低帮鞋品名',\n",
       "       'info.功能', 'info.吊牌价', 'info.品牌', 'info.图案', 'info.场合', 'info.外底材料',\n",
       "       'info.季节', 'info.尺码', 'info.帮面内里材质', 'info.帮面材质', 'info.性别',\n",
       "       'info.是否商场同款', 'info.是否瑕疵', 'info.款号', 'info.款式', 'info.流行元素',\n",
       "       'info.真皮材质工艺', 'info.细分风格', 'info.货号', 'info.跟底款式', 'info.运动系列',\n",
       "       'info.运动鞋科技', 'info.适合路面', 'info.适用对象', 'info.销售渠道类型', 'info.闭合方式',\n",
       "       'info.靴子品名', 'info.靴筒内里材质', 'info.靴筒材质', 'info.靴筒高度', 'info.鞋制作工艺',\n",
       "       'info.鞋垫材质', 'info.鞋头款式', 'info.鞋底材质', 'info.鞋码', 'info.鞋跟高',\n",
       "       'info.鞋面内里材质', 'info.鞋面材质', 'info.颜色分类', 'info.风格', 'itemid',\n",
       "       'location', 'nick', 'price', 'sales', 'title', 'url'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "a.sales=a.sales.str.split(\"人\",expand=True)[0]\n",
    "a.sales = a.sales.astype(np.int64)#转换列的类型为整数\n",
    "a.price = a.price.astype(np.float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyecharts.globals import ThemeType\n",
    "from pyecharts.faker import Faker\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar\n",
    "from pyecharts.charts import Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Line' object has no attribute 'add'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-3e848f27c5db>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mp1\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m \u001b[0mline1\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mLine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m \u001b[0mline1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"意尔康商品价格\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mxaxis_max\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m600\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: 'Line' object has no attribute 'add'"
     ]
    }
   ],
   "source": [
    "#最简单的价格分布求取方式\n",
    "#这种分布虽然现实的信息最详细，但是并不便于解读\n",
    "p1=Counter(a.price.values)\n",
    "x=list(p1.keys())\n",
    "x.sort()\n",
    "y=[p1[i] for i in x]\n",
    "line1=Line()\n",
    "line1.add(\"意尔康商品价格\",x,y,xaxis_max=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "value_count() 的参数：\n",
    "\n",
    "\n",
    "(1) normalize : boolean, default False             如果为True，则返回的对象将包含唯一值的相对频率。\n",
    "\n",
    "sort : boolean, default True             按值排序\n",
    "\n",
    "ascending : boolean, default False        按频率计数升序排序\n",
    "\n",
    "bins : integer, optional    而不是数值计算，把它们分成半开放的箱子，一个方便的pd.cut，只适用于数字数据\n",
    "\n",
    "dropna : boolean, default True          不包括NaN的数量。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "p2=a.sales.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"6f080eb00d4144119ed70b9ea225c88f\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
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       "        require(['echarts'], function(echarts) {\n",
       "                var chart_6f080eb00d4144119ed70b9ea225c88f = echarts.init(\n",
       "                    document.getElementById('6f080eb00d4144119ed70b9ea225c88f'), 'white', {renderer: 'canvas'});\n",
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       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
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       "        \"#444693\",\n",
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       "    \"series\": [\n",
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       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"price\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"price\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
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       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"type\": \"value\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
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       "                1583,\n",
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       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
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       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"zoomLock\": false\n",
       "    }\n",
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       "                chart_6f080eb00d4144119ed70b9ea225c88f.setOption(option_6f080eb00d4144119ed70b9ea225c88f);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c596f3c50>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(p2.index.tolist()).add_yaxis(\"price\", p2.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "p2=a.sales.value_counts(bins=500,sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "for i in p2.items():\n",
    "    #print(i[0].mid,i[1])\n",
    "    x.append(i[0].mid)#区间数据类型用mid可以得到区间的中值\n",
    "    y.append(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
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       "    \"yAxis\": [\n",
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       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
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       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
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       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
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       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"zoomLock\": false\n",
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       "};\n",
       "                chart_3c68b19171ce476bbdb718cf7248e136.setOption(option_3c68b19171ce476bbdb718cf7248e136);\n",
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     "execution_count": 64,
     "metadata": {},
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   "source": [
    "f1=Line().add_xaxis(x).add_yaxis(\"price\", y,is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
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       "                \"width\": 1,\n",
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       "                \"type\": \"solid\"\n",
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       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
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       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
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       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
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       "                \"show\": false,\n",
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       "                    \"opacity\": 1,\n",
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       "                621,\n",
       "                644,\n",
       "                952,\n",
       "                1583,\n",
       "                1607\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"type\": \"log\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"zoomLock\": false\n",
       "    }\n",
       "};\n",
       "                chart_0e47dbab1f034ea2a8c447158fa27d25.setOption(option_0e47dbab1f034ea2a8c447158fa27d25);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c596eb630>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(p2.index.tolist()).add_yaxis(\"price\", p2.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),yaxis_opts=opts.AxisOpts(type_=\"log\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1=a.price.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16.90       1\n",
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       "           ..\n",
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       "1999.00    16\n",
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       "2399.00     4\n",
       "2999.00     2\n",
       "3099.00     4\n",
       "3499.00     4\n",
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       "Name: price, Length: 383, dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#help(a.price.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
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       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"619d71fbc0874d758ae2329905f9e6f0\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_619d71fbc0874d758ae2329905f9e6f0 = echarts.init(\n",
       "                    document.getElementById('619d71fbc0874d758ae2329905f9e6f0'), 'white', {renderer: 'canvas'});\n",
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       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
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       "        \"#918597\"\n",
       "    ],\n",
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       "            \"connectNulls\": false,\n",
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       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"zoomLock\": false\n",
       "    }\n",
       "};\n",
       "                chart_619d71fbc0874d758ae2329905f9e6f0.setOption(option_619d71fbc0874d758ae2329905f9e6f0);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c573b6278>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(p1.index.tolist()).add_yaxis(\"price\", p1.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "p2=a.price.value_counts(bins=500,sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "(156.542, 170.506]      522\n",
       "(170.506, 184.47]       250\n",
       "(184.47, 198.435]       339\n",
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       "(393.933, 407.898]      285\n",
       "(407.898, 421.862]      120\n",
       "(421.862, 435.826]       22\n",
       "                       ... \n",
       "(6580.074, 6594.038]      0\n",
       "(6594.038, 6608.002]      0\n",
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       "(6621.967, 6635.931]      0\n",
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       "(6649.895, 6663.859]      0\n",
       "(6663.859, 6677.823]      0\n",
       "(6677.823, 6691.788]      0\n",
       "(6691.788, 6705.752]      0\n",
       "(6705.752, 6719.716]      0\n",
       "(6719.716, 6733.68]       0\n",
       "(6733.68, 6747.644]       0\n",
       "(6747.644, 6761.609]      0\n",
       "(6761.609, 6775.573]      0\n",
       "(6775.573, 6789.537]      0\n",
       "(6789.537, 6803.501]      0\n",
       "(6803.501, 6817.465]      0\n",
       "(6817.465, 6831.43]       0\n",
       "(6831.43, 6845.394]       0\n",
       "(6845.394, 6859.358]      0\n",
       "(6859.358, 6873.322]      0\n",
       "(6873.322, 6887.286]      0\n",
       "(6887.286, 6901.251]      0\n",
       "(6901.251, 6915.215]      0\n",
       "(6915.215, 6929.179]      0\n",
       "(6929.179, 6943.143]      0\n",
       "(6943.143, 6957.107]      0\n",
       "(6957.107, 6971.072]      0\n",
       "(6971.072, 6985.036]      0\n",
       "(6985.036, 6999.0]        4\n",
       "Name: price, Length: 500, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "for i in p2.items():\n",
    "    #print(i[0].mid,i[1])\n",
    "    x.append(i[0].mid)\n",
    "    y.append(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
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     "execution_count": 85,
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   "source": [
    "f1=Line().add_xaxis(x).add_yaxis(\"price\", y,is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
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  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "y,x=np.histogram(a.price.values,np.linspace(a.price.min(),700,50),weights=a.sales.values)\n",
    "#把商品销量作为区间内求和的权重，来计算价格区间内的销量"
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   "execution_count": 92,
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       "                [\n",
       "                    700.0,\n",
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       "                ]\n",
       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"price\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"price\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"type\": \"value\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
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       "            \"splitLine\": {\n",
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       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
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       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
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       "    }\n",
       "};\n",
       "                chart_02b545ab4156461caff63cc716698fe4.setOption(option_02b545ab4156461caff63cc716698fe4);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x2612b003b38>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(x.tolist()).add_yaxis(\"price\", [0]+y.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "info.鞋面材质\n",
       "PU             671\n",
       "二层牛皮（除牛反绒）     605\n",
       "二层猪皮             8\n",
       "人造革             80\n",
       "塑胶              10\n",
       "多种材质拼接          21\n",
       "太空革              9\n",
       "头层牛皮（除牛反绒）    3470\n",
       "头层猪皮             6\n",
       "布                8\n",
       "棉布               1\n",
       "牛仔布              2\n",
       "牛反绒             12\n",
       "磨砂皮             14\n",
       "绒面              15\n",
       "网布               7\n",
       "羊皮毛一体            1\n",
       "超纤              35\n",
       "超纤皮              1\n",
       "鳄鱼皮              4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.groupby(\"info.鞋面材质\").size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "def c1(x):\n",
    "    return x.price.values\n",
    "p3=a.groupby(\"info.鞋面材质\").apply(c1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "info.鞋面材质\n",
       "PU            [208.0, 278.0, 209.0, 189.0, 158.0, 176.0, 196...\n",
       "二层牛皮（除牛反绒）    [159.0, 168.0, 148.0, 206.0, 239.0, 158.0, 158...\n",
       "二层猪皮          [98.0, 135.0, 231.0, 248.0, 233.0, 193.0, 213....\n",
       "人造革           [152.0, 129.0, 159.0, 180.0, 199.0, 175.0, 177...\n",
       "塑胶            [188.0, 185.0, 195.0, 215.0, 205.0, 268.0, 190...\n",
       "多种材质拼接        [359.0, 359.0, 319.0, 319.0, 239.0, 299.0, 259...\n",
       "太空革           [205.0, 218.0, 208.0, 205.0, 176.0, 218.0, 218...\n",
       "头层牛皮（除牛反绒）    [269.0, 199.0, 148.0, 158.0, 279.0, 148.0, 168...\n",
       "头层猪皮                  [296.0, 339.0, 98.0, 229.0, 222.0, 289.0]\n",
       "布             [628.0, 188.0, 355.0, 199.0, 189.0, 178.0, 147...\n",
       "棉布                                                      [299.0]\n",
       "牛仔布                                              [222.0, 133.0]\n",
       "牛反绒           [259.0, 206.0, 218.0, 196.0, 218.0, 208.0, 208...\n",
       "磨砂皮           [259.0, 168.0, 178.0, 199.0, 166.0, 199.0, 196...\n",
       "绒面            [159.64, 166.0, 175.0, 169.0, 162.0, 178.0, 15...\n",
       "网布            [310.0, 259.0, 269.0, 192.0, 208.0, 209.0, 310.0]\n",
       "羊皮毛一体                                                   [139.3]\n",
       "超纤            [168.0, 379.0, 99.0, 159.0, 319.0, 248.0, 278....\n",
       "超纤皮                                                     [177.0]\n",
       "鳄鱼皮                            [6999.0, 6999.0, 6999.0, 6999.0]\n",
       "dtype: object"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([152.  , 129.  , 159.  , 180.  , 199.  , 175.  , 177.  , 176.  ,\n",
       "       174.44, 176.4 , 163.  , 159.  , 176.  , 169.  , 152.  , 169.  ,\n",
       "       172.  , 156.  , 178.  , 188.  , 178.  , 166.  , 169.  , 146.  ,\n",
       "       176.  , 178.  , 180.  , 188.  , 178.  , 182.  , 142.  , 166.  ,\n",
       "       168.  , 178.  , 165.  , 166.  , 176.  , 133.  , 156.  , 150.  ,\n",
       "       178.  , 156.  , 150.  , 156.  , 147.  , 137.  , 147.  , 156.  ,\n",
       "       146.  , 156.  , 146.  , 158.  , 186.  , 146.  , 169.  , 150.12,\n",
       "       146.  , 156.  , 186.  , 162.  , 158.  , 168.  , 159.  , 159.  ,\n",
       "       138.  , 129.  , 163.  , 187.  , 158.  , 135.  , 138.  , 168.  ,\n",
       "       156.  , 131.  , 149.  , 149.  , 174.  , 119.  , 106.82, 158.  ])"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p3[\"人造革\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyecharts.charts import Boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"deae7c7e17ed4e7f971e64f3c7a052d3\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_deae7c7e17ed4e7f971e64f3c7a052d3 = echarts.init(\n",
       "                    document.getElementById('deae7c7e17ed4e7f971e64f3c7a052d3'), 'white', {renderer: 'canvas'});\n",
       "                var option_deae7c7e17ed4e7f971e64f3c7a052d3 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"boxplot\",\n",
       "            \"name\": \"A\",\n",
       "            \"data\": [\n",
       "                [\n",
       "                    97.02,\n",
       "                    162.0,\n",
       "                    179.0,\n",
       "                    199.0,\n",
       "                    698.0\n",
       "                ],\n",
       "                [\n",
       "                    69.0,\n",
       "                    169.0,\n",
       "                    206.0,\n",
       "                    239.0,\n",
       "                    740.0\n",
       "                ],\n",
       "                [\n",
       "                    58.0,\n",
       "                    209.0,\n",
       "                    308.0,\n",
       "                    379.0,\n",
       "                    3499.0\n",
       "                ],\n",
       "                [\n",
       "                    106.82,\n",
       "                    149.25,\n",
       "                    159.0,\n",
       "                    176.0,\n",
       "                    199.0\n",
       "                ]\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"color\": \"#fff\",\n",
       "                    \"margin\": 8\n",
       "                }\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"silent\": false,\n",
       "                \"precision\": 2,\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"top\",\n",
       "                    \"margin\": 8\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"A\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"A\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"PU\",\n",
       "                \"\\u4e8c\\u5c42\\u725b\\u76ae\\uff08\\u9664\\u725b\\u53cd\\u7ed2\\uff09\",\n",
       "                \"\\u5934\\u5c42\\u725b\\u76ae\\uff08\\u9664\\u725b\\u53cd\\u7ed2\\uff09\",\n",
       "                \"\\u4eba\\u9020\\u9769\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"BoxPlot-\\u57fa\\u672c\\u793a\\u4f8b\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_deae7c7e17ed4e7f971e64f3c7a052d3.setOption(option_deae7c7e17ed4e7f971e64f3c7a052d3);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x2612b049208>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=[\"PU\",\"二层牛皮（除牛反绒）\",\"头层牛皮（除牛反绒）\",\"人造革\"]\n",
    "y=[p3[x[0]],p3[x[1]],p3[x[2]],p3[x[3]]]\n",
    "c = Boxplot()\n",
    "c.add_xaxis(x).add_yaxis(\"A\", c.prepare_data(y))\n",
    "c.set_global_opts(title_opts=opts.TitleOpts(title=\"BoxPlot-基本示例\"))\n",
    "c.render_notebook()\n",
    "#头层牛皮最贵\n",
    "#材质越差，价格波动空间越小，好材质，定价空间更大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>brand</th>\n",
       "      <th>behavr</th>\n",
       "      <th>date</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>06/04</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>2</td>\n",
       "      <td>06/04</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>2</td>\n",
       "      <td>06/04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>06/04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>06/04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  brand  behavr   date\n",
       "0  10944750  13451       0  06/04\n",
       "1  10944750  13451       2  06/04\n",
       "2  10944750  13451       2  06/04\n",
       "3  10944750  13451       0  06/04\n",
       "4  10944750  13451       0  06/04"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#请下载此数据，并导入，注意更改目录\n",
    "r1=pd.read_csv(r\"D:\\t_alibaba_data3.txt\",names=[\"user\",\"brand\",\"behavr\",\"date\"],sep=\"\\t\",dtype={\"behavr\":int})\n",
    "#pandas会自己判断数据类型，但是有时也需要自己额外指定数据类型\n",
    "r1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "r1.date=\"2011/\"+r1.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "r1.date=pd.to_datetime(r1.date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>brand</th>\n",
       "      <th>behavr</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>2011-06-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>2</td>\n",
       "      <td>2011-06-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>2</td>\n",
       "      <td>2011-06-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>2011-06-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10944750</td>\n",
       "      <td>13451</td>\n",
       "      <td>0</td>\n",
       "      <td>2011-06-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       user  brand  behavr       date\n",
       "0  10944750  13451       0 2011-06-04\n",
       "1  10944750  13451       2 2011-06-04\n",
       "2  10944750  13451       2 2011-06-04\n",
       "3  10944750  13451       0 2011-06-04\n",
       "4  10944750  13451       0 2011-06-04"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1=r1[r1.behavr==1].groupby(\"user\").size().value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"b438692f3c0243dc98aa30ae71055905\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
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       "        require(['echarts'], function(echarts) {\n",
       "                var chart_b438692f3c0243dc98aa30ae71055905 = echarts.init(\n",
       "                    document.getElementById('b438692f3c0243dc98aa30ae71055905'), 'white', {renderer: 'canvas'});\n",
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       "    \"animation\": true,\n",
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       "    \"animationEasingUpdate\": \"cubicOut\",\n",
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       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
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       "                    51,\n",
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       "                    53,\n",
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       "                    54,\n",
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       "                    1\n",
       "                ],\n",
       "                [\n",
       "                    83,\n",
       "                    1\n",
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       "            ],\n",
       "            \"hoverAnimation\": true,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"lineStyle\": {\n",
       "                \"width\": 1,\n",
       "                \"opacity\": 1,\n",
       "                \"curveness\": 0,\n",
       "                \"type\": \"solid\"\n",
       "            },\n",
       "            \"areaStyle\": {\n",
       "                \"opacity\": 0\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"price\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"price\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"type\": \"value\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                1,\n",
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       "                83\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"slider\",\n",
       "        \"realtime\": true,\n",
       "        \"start\": 20,\n",
       "        \"end\": 80,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"zoomLock\": false\n",
       "    }\n",
       "};\n",
       "                chart_b438692f3c0243dc98aa30ae71055905.setOption(option_b438692f3c0243dc98aa30ae71055905);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c573e9da0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(p1.index.tolist()).add_yaxis(\"price\", p1.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"value\"),\n",
    "                  datazoom_opts=opts.DataZoomOpts(is_show=True))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1=r1.groupby(pd.Grouper(key=\"date\")).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#t1.index.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"46f118d24a3c4d05b267b4b8e851a685\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_46f118d24a3c4d05b267b4b8e851a685 = echarts.init(\n",
       "                    document.getElementById('46f118d24a3c4d05b267b4b8e851a685'), 'white', {renderer: 'canvas'});\n",
       "                var option_46f118d24a3c4d05b267b4b8e851a685 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
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       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
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       "                \"2011-06-12T00:00:00\",\n",
       "                \"2011-06-13T00:00:00\",\n",
       "                \"2011-06-14T00:00:00\",\n",
       "                \"2011-06-15T00:00:00\",\n",
       "                \"2011-06-16T00:00:00\",\n",
       "                \"2011-06-17T00:00:00\",\n",
       "                \"2011-06-18T00:00:00\",\n",
       "                \"2011-06-19T00:00:00\",\n",
       "                \"2011-06-20T00:00:00\",\n",
       "                \"2011-06-21T00:00:00\",\n",
       "                \"2011-06-22T00:00:00\",\n",
       "                \"2011-06-23T00:00:00\",\n",
       "                \"2011-06-24T00:00:00\",\n",
       "                \"2011-06-25T00:00:00\",\n",
       "                \"2011-06-26T00:00:00\",\n",
       "                \"2011-06-27T00:00:00\",\n",
       "                \"2011-06-28T00:00:00\",\n",
       "                \"2011-06-29T00:00:00\",\n",
       "                \"2011-06-30T00:00:00\",\n",
       "                \"2011-07-01T00:00:00\",\n",
       "                \"2011-07-02T00:00:00\",\n",
       "                \"2011-07-03T00:00:00\",\n",
       "                \"2011-07-04T00:00:00\",\n",
       "                \"2011-07-05T00:00:00\",\n",
       "                \"2011-07-06T00:00:00\",\n",
       "                \"2011-07-07T00:00:00\",\n",
       "                \"2011-07-08T00:00:00\",\n",
       "                \"2011-07-09T00:00:00\",\n",
       "                \"2011-07-10T00:00:00\",\n",
       "                \"2011-07-11T00:00:00\",\n",
       "                \"2011-07-12T00:00:00\",\n",
       "                \"2011-07-13T00:00:00\",\n",
       "                \"2011-07-14T00:00:00\",\n",
       "                \"2011-07-15T00:00:00\",\n",
       "                \"2011-07-16T00:00:00\",\n",
       "                \"2011-07-17T00:00:00\",\n",
       "                \"2011-07-18T00:00:00\",\n",
       "                \"2011-07-19T00:00:00\",\n",
       "                \"2011-07-20T00:00:00\",\n",
       "                \"2011-07-21T00:00:00\",\n",
       "                \"2011-07-22T00:00:00\",\n",
       "                \"2011-07-23T00:00:00\",\n",
       "                \"2011-07-24T00:00:00\",\n",
       "                \"2011-07-25T00:00:00\",\n",
       "                \"2011-07-26T00:00:00\",\n",
       "                \"2011-07-27T00:00:00\",\n",
       "                \"2011-07-28T00:00:00\",\n",
       "                \"2011-07-29T00:00:00\",\n",
       "                \"2011-07-30T00:00:00\",\n",
       "                \"2011-07-31T00:00:00\",\n",
       "                \"2011-08-01T00:00:00\",\n",
       "                \"2011-08-02T00:00:00\",\n",
       "                \"2011-08-03T00:00:00\",\n",
       "                \"2011-08-04T00:00:00\",\n",
       "                \"2011-08-05T00:00:00\",\n",
       "                \"2011-08-06T00:00:00\",\n",
       "                \"2011-08-07T00:00:00\",\n",
       "                \"2011-08-08T00:00:00\",\n",
       "                \"2011-08-09T00:00:00\",\n",
       "                \"2011-08-10T00:00:00\",\n",
       "                \"2011-08-11T00:00:00\",\n",
       "                \"2011-08-12T00:00:00\",\n",
       "                \"2011-08-13T00:00:00\",\n",
       "                \"2011-08-14T00:00:00\",\n",
       "                \"2011-08-15T00:00:00\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u610f\\u5c14\\u5eb7\\u7537\\u978b\\u5206\\u6790\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_46f118d24a3c4d05b267b4b8e851a685.setOption(option_46f118d24a3c4d05b267b4b8e851a685);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c57378cc0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=Line().add_xaxis(t1.index.tolist()).add_yaxis(\"price\", t1.tolist(),is_smooth=True)\n",
    "f1.set_global_opts(title_opts=opts.TitleOpts(title=\"意尔康男鞋分析\"),\n",
    "                   xaxis_opts=opts.AxisOpts(type_=\"time\"))\n",
    "f1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "f1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2011-04-15    1694\n",
       "2011-04-16    1398\n",
       "2011-04-17    1050\n",
       "2011-04-18    2528\n",
       "2011-04-19    1490\n",
       "2011-04-20    1233\n",
       "2011-04-21    1491\n",
       "2011-04-22    1087\n",
       "2011-04-23      41\n",
       "2011-04-24     654\n",
       "2011-04-25    1217\n",
       "2011-04-26    1436\n",
       "2011-04-27    1103\n",
       "2011-04-28    1243\n",
       "2011-04-29    1144\n",
       "2011-04-30     771\n",
       "2011-05-01     760\n",
       "2011-05-02    1034\n",
       "2011-05-03    1365\n",
       "2011-05-04    1349\n",
       "2011-05-05    1289\n",
       "2011-05-06    1264\n",
       "2011-05-07    1027\n",
       "2011-05-08     990\n",
       "2011-05-09    1436\n",
       "2011-05-10    1494\n",
       "2011-05-11    1818\n",
       "2011-05-12      64\n",
       "2011-05-13    1421\n",
       "2011-05-14    1047\n",
       "              ... \n",
       "2011-07-17    1219\n",
       "2011-07-18    1620\n",
       "2011-07-19    1725\n",
       "2011-07-20    1574\n",
       "2011-07-21    1513\n",
       "2011-07-22    1396\n",
       "2011-07-23    1255\n",
       "2011-07-24    1215\n",
       "2011-07-25    1635\n",
       "2011-07-26    2089\n",
       "2011-07-27    2136\n",
       "2011-07-28    2272\n",
       "2011-07-29    1620\n",
       "2011-07-30    1683\n",
       "2011-07-31    1555\n",
       "2011-08-01    1693\n",
       "2011-08-02    1579\n",
       "2011-08-03    1697\n",
       "2011-08-04    1504\n",
       "2011-08-05    1798\n",
       "2011-08-06    1273\n",
       "2011-08-07    1210\n",
       "2011-08-08    1844\n",
       "2011-08-09    1642\n",
       "2011-08-10    1827\n",
       "2011-08-11    1894\n",
       "2011-08-12    1836\n",
       "2011-08-13    1607\n",
       "2011-08-14    1395\n",
       "2011-08-15    2359\n",
       "Length: 123, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import random\n",
    "\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Calendar\n",
    "\n",
    "\n",
    "def calendar_base() -> Calendar:\n",
    "    begin = datetime.date(2017, 1, 1)\n",
    "    end = datetime.date(2017, 12, 31)\n",
    "    data = [\n",
    "        [str(begin + datetime.timedelta(days=i)), random.randint(1000, 25000)]\n",
    "        for i in range((end - begin).days + 1)\n",
    "    ]\n",
    "    print(data[0:2])\n",
    "    c = (\n",
    "        Calendar()\n",
    "        .add(\"\", data, calendar_opts=opts.CalendarOpts(range_=\"2017\"))\n",
    "        .set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"Calendar-2017年微信步数情况\"),\n",
    "            visualmap_opts=opts.VisualMapOpts(\n",
    "                max_=20000,\n",
    "                min_=500,\n",
    "                orient=\"horizontal\",\n",
    "                is_piecewise=True,\n",
    "                pos_top=\"230px\",\n",
    "                pos_left=\"100px\",\n",
    "            ),\n",
    "        )\n",
    "    )\n",
    "    return c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['2017-01-01', 5993], ['2017-01-02', 6488]]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"21e3fd391c344bd78460f8ff57659d89\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_21e3fd391c344bd78460f8ff57659d89 = echarts.init(\n",
       "                    document.getElementById('21e3fd391c344bd78460f8ff57659d89'), 'white', {renderer: 'canvas'});\n",
       "                var option_21e3fd391c344bd78460f8ff57659d89 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
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       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"heatmap\",\n",
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       "                ],\n",
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       "                ],\n",
       "                [\n",
       "                    \"2017-12-29\",\n",
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       "                ],\n",
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       "                    8443\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-31\",\n",
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       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"calendar\": {\n",
       "        \"range\": \"2017\"\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Calendar-2017\\u5e74\\u5fae\\u4fe1\\u6b65\\u6570\\u60c5\\u51b5\"\n",
       "        }\n",
       "    ],\n",
       "    \"visualMap\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"piecewise\",\n",
       "        \"min\": 500,\n",
       "        \"max\": 20000,\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"calculable\": true,\n",
       "        \"splitNumber\": 5,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"left\": \"100px\",\n",
       "        \"top\": \"230px\",\n",
       "        \"showLabel\": true\n",
       "    }\n",
       "};\n",
       "                chart_21e3fd391c344bd78460f8ff57659d89.setOption(option_21e3fd391c344bd78460f8ff57659d89);\n",
       "        });\n",
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     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
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    "calendar_base().render_notebook()"
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  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=[]\n",
    "for i in t1.items():\n",
    "    data.append(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
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       "                [\n",
       "                    \"2011-06-19T00:00:00\",\n",
       "                    1167\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-20T00:00:00\",\n",
       "                    1558\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-21T00:00:00\",\n",
       "                    1408\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-22T00:00:00\",\n",
       "                    1407\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-23T00:00:00\",\n",
       "                    1951\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-24T00:00:00\",\n",
       "                    1514\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-25T00:00:00\",\n",
       "                    1131\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-26T00:00:00\",\n",
       "                    1055\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-27T00:00:00\",\n",
       "                    1608\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-28T00:00:00\",\n",
       "                    1624\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-29T00:00:00\",\n",
       "                    1948\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-06-30T00:00:00\",\n",
       "                    1826\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-01T00:00:00\",\n",
       "                    1378\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-02T00:00:00\",\n",
       "                    1542\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-03T00:00:00\",\n",
       "                    1241\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-04T00:00:00\",\n",
       "                    2011\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-05T00:00:00\",\n",
       "                    1950\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-06T00:00:00\",\n",
       "                    2174\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-07T00:00:00\",\n",
       "                    1870\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-08T00:00:00\",\n",
       "                    1903\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-09T00:00:00\",\n",
       "                    1129\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-10T00:00:00\",\n",
       "                    1248\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-11T00:00:00\",\n",
       "                    2532\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-12T00:00:00\",\n",
       "                    2774\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-13T00:00:00\",\n",
       "                    2544\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-14T00:00:00\",\n",
       "                    1941\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-15T00:00:00\",\n",
       "                    1386\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-16T00:00:00\",\n",
       "                    1495\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-17T00:00:00\",\n",
       "                    1219\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-18T00:00:00\",\n",
       "                    1620\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-19T00:00:00\",\n",
       "                    1725\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-20T00:00:00\",\n",
       "                    1574\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-21T00:00:00\",\n",
       "                    1513\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-22T00:00:00\",\n",
       "                    1396\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-23T00:00:00\",\n",
       "                    1255\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-24T00:00:00\",\n",
       "                    1215\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-25T00:00:00\",\n",
       "                    1635\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-26T00:00:00\",\n",
       "                    2089\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-27T00:00:00\",\n",
       "                    2136\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-28T00:00:00\",\n",
       "                    2272\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-29T00:00:00\",\n",
       "                    1620\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-30T00:00:00\",\n",
       "                    1683\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-07-31T00:00:00\",\n",
       "                    1555\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-01T00:00:00\",\n",
       "                    1693\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-02T00:00:00\",\n",
       "                    1579\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-03T00:00:00\",\n",
       "                    1697\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-04T00:00:00\",\n",
       "                    1504\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-05T00:00:00\",\n",
       "                    1798\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-06T00:00:00\",\n",
       "                    1273\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-07T00:00:00\",\n",
       "                    1210\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-08T00:00:00\",\n",
       "                    1844\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-09T00:00:00\",\n",
       "                    1642\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-10T00:00:00\",\n",
       "                    1827\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-11T00:00:00\",\n",
       "                    1894\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-12T00:00:00\",\n",
       "                    1836\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-13T00:00:00\",\n",
       "                    1607\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-14T00:00:00\",\n",
       "                    1395\n",
       "                ],\n",
       "                [\n",
       "                    \"2011-08-15T00:00:00\",\n",
       "                    2359\n",
       "                ]\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\": true\n",
       "            },\n",
       "            \"show\": true\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"calendar\": {\n",
       "        \"range\": [\n",
       "            \"2011-04-15\",\n",
       "            \"2011-08-15\"\n",
       "        ]\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Calendar-2011\\u5e74\\u54c1\\u724c\\u9500\\u552e\\u91cf\"\n",
       "        }\n",
       "    ],\n",
       "    \"visualMap\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"piecewise\",\n",
       "        \"min\": 40,\n",
       "        \"max\": 3000,\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"calculable\": true,\n",
       "        \"splitNumber\": 5,\n",
       "        \"orient\": \"horizontal\",\n",
       "        \"left\": \"100px\",\n",
       "        \"top\": \"230px\",\n",
       "        \"showLabel\": true\n",
       "    }\n",
       "};\n",
       "                chart_f6db7f10cc9c4e6b8499ea7d9bcc519c.setOption(option_f6db7f10cc9c4e6b8499ea7d9bcc519c);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x25c573f4da0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c1=Calendar()\n",
    "c1.add(\"\", data, calendar_opts=opts.CalendarOpts(range_=[\"2011-04-15\",\"2011-08-15\"]))\n",
    "c1.set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"Calendar-2011年品牌销售量\"),\n",
    "            visualmap_opts=opts.VisualMapOpts(\n",
    "                max_=3000,\n",
    "                min_=40,\n",
    "                orient=\"horizontal\",\n",
    "                is_piecewise=True,\n",
    "                pos_top=\"230px\",\n",
    "                pos_left=\"100px\",\n",
    "            ),\n",
    "        )\n",
    "c1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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